Revolutionizing healthcare: the role of artificial intelligence in clinical practice

INTRODUCTION

Healthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields, including healthcare, with the potential to improve patient care and quality of life. Rapid AI advancements can revolutionize healthcare by integrating it into clinical practice. Reporting AI's role in clinical practice is crucial for successful implementation by equipping healthcare providers with essential knowledge and tools.

RESEARCH SIGNIFICANCE

This review article provides a comprehensive and up-to-date overview of the current state of AI in clinical practice, including its potential applications in disease diagnosis, treatment recommendations, and patient engagement. It also discusses the associated challenges, covering ethical and legal considerations and the need for human expertise. By doing so, it enhances understanding of AI's significance in healthcare and supports healthcare organizations in effectively adopting AI technologies.

MATERIALS AND METHODS

The current investigation analyzed the use of AI in the healthcare system with a comprehensive review of relevant indexed literature, such as PubMed/Medline, Scopus, and EMBASE, with no time constraints but limited to articles published in English. The focused question explores the impact of applying AI in healthcare settings and the potential outcomes of this application.

RESULTS

Integrating AI into healthcare holds excellent potential for improving disease diagnosis, treatment selection, and clinical laboratory testing. AI tools can leverage large datasets and identify patterns to surpass human performance in several healthcare aspects. AI offers increased accuracy, reduced costs, and time savings while minimizing human errors. It can revolutionize personalized medicine, optimize medication dosages, enhance population health management, establish guidelines, provide virtual health assistants, support mental health care, improve patient education, and influence patient-physician trust.

CONCLUSION

AI can be used to diagnose diseases, develop personalized treatment plans, and assist clinicians with decision-making. Rather than simply automating tasks, AI is about developing technologies that can enhance patient care across healthcare settings. However, challenges related to data privacy, bias, and the need for human expertise must be addressed for the responsible and effective implementation of AI in healthcare.

Identifying gaps in vaccination perception after mandating the COVID-19 vaccine in Saudi Arabia

OBJECTIVE

The burden of COVID-19 pandemic affected the globe, and it is unclear how it has impacted the general perception of other vaccines. We aimed to investigate the public awareness, knowledge, and attitude towards other complementary vaccines after the mandate of the COVID-19 vaccine.

METHODS

A cross-sectional study was conducted in Saudi Arabia using a survey distributed via several social media platforms in June 2022. The questionnaire had three main sections; awareness; attitudes; and demographic information. Descriptive analysis was mainly used and supplemented with Chi-square test for correlation. All individuals over the age of 18 were eligible to participate in the study.

RESULTS

A total of 1,045 participants from Saudi Arabia completed the survey. Of the respondents, 55.9% were female, and 95% were Saudi citizens. Public awareness towards vaccines after the mandate of COVID-19 vaccine was the highest with the influenza vaccine (98.2%), followed by human papillomavirus (HPV) (40.7%), tetanus, diphtheria, and pertussis (Tdap) (37.2%), and lastly, pneumococcal vaccine (17%). More than 50% of the participants expressed their willingness to receive any of the four vaccines if they knew about the benefits related to these vaccines.

CONCLUSION

The study showed that participants were willing to receive the vaccination if they were aware of the general benefits of vaccinations. Therefore, health education and campaigns toward recommended vaccines for high-risk group are essential and needed.

Incidence and Clinical Outcomes of New-Onset Atrial Fibrillation in Critically lll Patients with COVID-19: A Multicenter Cohort Study - New-Onset Atrial Fibrillation and COVID-19

Atrial fibrillation (Afib) can contribute to a significant increase in mortality and morbidity in critically ill patients. Thus, our study aims to investigate the incidence and clinical outcomes associated with the new-onset Afib in critically ill patients with COVID-19. A multicenter, retrospective cohort study includes critically ill adult patients with COVID-19 admitted to the intensive care units (ICUs) from March, 2020 to July, 2021. Patients were categorized into two groups (new-onset Afib vs control). The primary outcome was the in-hospital mortality. Other outcomes were secondary, such as mechanical ventilation (MV) duration, 30-day mortality, ICU length of stay (LOS), hospital LOS, and complications during stay. After propensity score matching (3:1 ratio), 400 patients were included in the final analysis. Patients who developed new-onset Afib had higher odds of in-hospital mortality (OR 2.76; 95% CI: 1.49-5.11, P = .001). However, there was no significant differences in the 30-day mortality. The MV duration, ICU LOS, and hospital LOS were longer in patients who developed new-onset Afib (beta coefficient 0.52; 95% CI: 0.28-0.77; P < .0001,beta coefficient 0.29; 95% CI: 0.12-0.46; P < .001, and beta coefficient 0.35; 95% CI: 0.18-0.52; P < .0001; respectively). Moreover, the control group had significantly lower odds of major bleeding, liver injury, and respiratory failure that required MV. New-onset Afib is a common complication among critically ill patients with COVID-19 that might be associated with poor clinical outcomes; further studies are needed to confirm these findings.

Assessing the prevalence and characteristics of self-reported penicillin allergy in Saudi Arabian population: A nationwide cross-sectional study

Introduction

Being allergic to penicillin can lead to the overuse of broad-spectrum antibiotics, contributing to the growing problem of multidrug resistance. Knowing the exact allergy history is essential as some circumstances may allow reinitiating penicillin. This study focused on assessing the prevalence and characteristics of self-reported penicillin allergy in the Saudi Arabian population.

Methods

We conducted a nationwide cross-sectional study via an electronic self-administered questionnaire directed toward the Saudi Arabian general adult population. Variables about respondent demographics as well as type and characteristics of the allergy were collected.

Results

One hundred ninety-three out of 2022 participants who completed the survey (9.5%) reported allergy to penicillin, with the most reported reaction being anaphylaxis in 89 participants (46.1%), non-anaphylaxis reported by 69 participants (35.8%). Twenty-two participants (11.4%) were identified as not having a true allergy due to reporting a tolerability issue or a non-penicillin-type agent. About 38% reported that the allergy occurred more than ten years ago.

Conclusion

This is the first study to report the prevalence and characteristics of self-reported penicillin allergy in Saudi Arabia. The data from this study provides valuable information to consider starting in-hospital penicillin de-labeling programs and providing evidence for healthcare providers to consider re-challenging certain qualified patients.

Systolic Blood Pressure Variability When Transitioning From Intravenous to Enteral Antihypertensive Agents in Patients With Hemorrhagic Strokes

Background/Objective

Systolic blood pressure variability (SBPV) in patients with intracranial hemorrhage (ICH) and subarachnoid hemorrhage (SAH) is associated with an increased risk of acute kidney injury (AKI) and mortality. SBPV is a strong predictor of poor functional outcomes in patients with ICH. Intravenous (IV) antihypertensive agents are commonly used to achieve sustained target blood pressure goals; however, this is not a feasible long-term option. The transition from IV to enteral antihypertensives is not yet well established in patients with ICH and SAH. This study aimed to assess the effect of the number of antihypertensive agents and overlap time during the transition period from IV to enteral route on SBPV in patients with ICH and SAH.

Methods

This retrospective single-center study was conducted at a tertiary teaching hospital in Riyadh, Saudi Arabia. Data were extracted from electronic medical records after obtaining Institutional Review Board approval. Patients were included if they were &gt;18 years old, admitted with spontaneous ICH or SAH, and received continuous infusion antihypertensives prior to transitioning to the enteral route. The major outcome was the effect of the number of antihypertensive agents and overlap time on SBPV during the transition process. Minor outcomes included the effect of the number of antihypertensive agents and overlap time on heart rate variability and the incidence of AKI on day 7.

Results

After the screening, we included 102 patients. Based on our regression model, the number of enteral antihypertensive agents upon transitioning from IV to enteral antihypertensive therapy had no effect on SBPV in the intensive care unit (ICU) among our patients (p-value = 0.274). However, the prolonged overlap was associated with reduced SBPV in the ICU (p-value = 0.012). No differences were observed between the groups in heart rate variation or AKI rate.

Conclusions

In patients with ICH and SAH, prolonged overlap of enteral antihypertensive agents to overlap with intravenous antihypertensive therapy may result in lower SBPV. This finding needs to be confirmed on a larger scale with more robust study designs for patients with ICH and SAH.